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In the two decades since short-baseline neutrino anomalies were first discovered, scientists have come up with several guesses about what might cause discrepancies.


Of all the known elementary particles, neutrinos probably give physicists the most headaches.

These tiny fundamental bits of matter are the second most common particle in the universe yet are anything but ordinary. Since their discovery, they have taunted scientists with bizarre behaviors, some of which physicists have yet to comprehend.

One source of confusion has showed up in the results from short-distance neutrino experiments, in which neutrinos are measured after traveling somewhere between a few meters and a kilometer. When scientists measure neutrinos in these experiments, the results don’t always match their predictions. Sometimes there are too many of certain types of neutrinos, while in others there are too few.

Analysing pendulum videos, the artificial intelligence tool identified variables not present in current mathematics.


An artificial intelligence tool has examined physical systems and not surprisingly, found new ways of describing what it found.

How do we make sense of the universe? There’s no manual. There’s no prescription.

At its most basic, physics helps us understand the relationships between “observable” variables – these are things we can measure. Velocity, energy, mass, position, angles, temperature, charge. Some variables like acceleration can be reduced to more fundamental variables. These are all variables in physics which shape our understanding of the world.

When users want to send data over the internet faster than the network can handle, congestion can occur—the same way traffic congestion snarls the morning commute into a big city.

Computers and devices that transmit data over the internet break the data down into smaller packets and use a special algorithm to decide how fast to send those packets. These control algorithms seek to fully discover and utilize available network capacity while sharing it fairly with other users who may be sharing the same network. These algorithms try to minimize delay caused by data waiting in queues in the network.

Over the past decade, researchers in industry and academia have developed several algorithms that attempt to achieve high rates while controlling delays. Some of these, such as the BBR algorithm developed by Google, are now widely used by many websites and applications.

Tesla has teased its Optimus humanoid robot prototype with a new image ahead of a full unveiling planned for September 30th.

Earlier this year, CEO Elon Musk announced “Tesla AI Day #2” with “many cool updates” on August 19.

The original “Tesla AI Day” held last year was an event focused on the company’s self-driving program. The automaker also unveiled its Dojo supercomputer and announced plans for the “Tesla Bot” humanoid robot – now known as Tesla Optimus.

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Paleontologists from the Perot Museum of Nature and Science in Dallas recently unearthed the fossils of a mosasaur, a 30-foot marine lizard that existed around 80 million years ago, according to a report from the Dallas Morning News.

Starting in mid-July, scientists excavated parts of the mosasaur’s skull, lower jawbones and several vertebrae from its spine near the fossil-rich North Sulphur River in North Texas. Stephen Kruse, an amateur enthusiast, told the Dallas Morning News that he first came across a piece of the creature’s spine as he hiked near the river.

“When I turned this corner, he was just sitting there, coming right out of the wall,” Kruse said.

In the middle of the night, the world can sometimes feel like a dark place. Under the cover of darkness, negative thoughts have a way of drifting through your mind, and as you lie awake, staring at the ceiling, you might start craving guilty pleasures, like a cigarette or a carb-heavy meal.

Plenty of evidence suggests the human mind functions differently if it is awake at nighttime. Past midnight, negative emotions tend to draw our attention more than positive ones, dangerous ideas grow in appeal and inhibitions fall away.

Some researchers think the human circadian rhythm is heavily involved in these critical changes in function, as they outline in a new paper summarizing the evidence of how brain systems function differently after dark.